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Altered network efficiency in major depressive disorder

Overview of attention for article published in BMC Psychiatry, December 2016
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

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6 tweeters
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1 Facebook page

Citations

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26 Dimensions

Readers on

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56 Mendeley
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Title
Altered network efficiency in major depressive disorder
Published in
BMC Psychiatry, December 2016
DOI 10.1186/s12888-016-1053-9
Pubmed ID
Authors

Ming Ye, Peng Qing, Ke Zhang, Guangyuan Liu

Abstract

Major depressive disorder (MDD) is associated with dysfunction between cognitive control and affective processing system. However, little is known about alterations of the nodal and edge efficiency in abnormal systems of MDD patients. We used two independent datasets and two different structural templates to investigate the alterations of the nodal and edge efficiency of whole-brain functional networks of MDD. Forty-two MDD and forty-two age, education-matched controls were selected to investigate network efficiency abnormalities of the MDD patients' cortical and subcortical regions, as well as the disrupted functional connectivity between these regions, from the perspective of network topological architectures. In addition, another dataset, which included thirty MDD patients and thirty controls, was also investigated using the same method. Results showed that MDD group demonstrated significant increase in the local efficiency, although not change of global efficiency. In addition, nodal efficiency was found to increase in affective processing regions (i.e., amygdale, thalamus, hippocampus), but decrease in cognitive control related regions, which included dorsolateral prefrontal cortex and anterior cingulate cortex. The edge efficiency was found to increase, involving both connectivity between thalamus and limbic system regions and connectivity between hippocampus and regions (i.e., amygdala, thalamus). More important, result was replicated within independent datasets for the first and different structural templates for another. Our results indicated that MDD was associated with disrupted functional connectivity networks between cognitive control and affective processing systems. The findings might shed light on the pathological mechanism of depression and provide potential biomarkers for clinic treatment of depression.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 30%
Researcher 8 14%
Student > Master 6 11%
Other 3 5%
Student > Bachelor 2 4%
Other 4 7%
Unknown 16 29%
Readers by discipline Count As %
Neuroscience 15 27%
Psychology 10 18%
Medicine and Dentistry 4 7%
Mathematics 1 2%
Unspecified 1 2%
Other 3 5%
Unknown 22 39%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 April 2018.
All research outputs
#6,716,835
of 21,411,922 outputs
Outputs from BMC Psychiatry
#2,230
of 4,383 outputs
Outputs of similar age
#141,051
of 417,382 outputs
Outputs of similar age from BMC Psychiatry
#181
of 385 outputs
Altmetric has tracked 21,411,922 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,383 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 417,382 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 385 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.